基于ElasticSearch的海量遥感数据检索技术研究  

Research on Massive Remote Sensing Data Retrieval Technology Based on ElasticSearch

作　　者：李峰[1] 宋宴 魏广泽 王永安[1] LI Feng;SONG Yan;WEI Guangze;WANG Yongan(The 54th Research Institute of CETC,Shijiazhuang 050081,China;Institute of Army Aviation,Beijing 101121,China)

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081 [2]陆军航空兵研究所,北京101121

出　　处：《计算机与网络》2021年第5期57-61,共5页Computer & Network

摘　　要：随着我国对地观测技术的发展,卫星遥感数据越来越多,传统空间关系数据库在时间范围、空间范围的快速查询及可扩展方面存在一定瓶颈。通过分析ElasticSearch搜索引擎框架,提出了一种基于改良GeoHash编码的时空索引方法,设计并实现了基于ElasticSearch的海量遥感数据检索技术,可以精确高效建立一维行键索引筛选遥感数据,提高查询处理效率。实验结果表明,该技术适合于组织管理与查询海量的遥感数据,查询性能优于传统关系数据库。With the development of earth observation technology in China,there are more and more remote sensing data,the traditional spatial relational database has some bottlenecks in the aspects of fast query and scalability in time range and spatial scope.By analyzing the ElasticSearch search engine framework,a spatio-temporal indexing method based on improved GeoHash coding is proposed,and a technology of massive remote sensing data retrieval based on ElasticSearch is designed and implemented,which can accurately and efficiently establish a one-dimensional row key index to filter remote sensing data and improve query processing efficiency.The experimental results show that the technology is suitable for organizing,managing and querying massive remote sensing data,and its query performance is better than that of traditional relational database.

关 键 词：ElasticSearch 遥感数据 GeoHash 数据检索 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]